A Low-Complexity Neural Normalized Min-Sum LDPC Decoding Algorithm Using Tensor-Train Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3207506
Abstract: Compared with traditional low-density parity-check (LDPC) decoding algorithms, the current model-driven deep learning (DL)-based LDPC decoding algorithms face the disadvantage of high computational complexity. Based on the Neural Normalized Min-Sum (NNMS) algorithm, we propose a… read more here.
Keywords: normalized min; ldpc decoding; nnms algorithm; neural normalized ... See more keywords
Effective Application of Normalized Min-Sum Decoding for Short BCH Codes
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2025.3582300
Abstract: This letter introduces an enhanced normalized min-sum decoder designed to address the performance and complexity challenges associated with developing parallelizable decoders for short BCH codes in high-throughput applications. The decoder optimizes the standard parity-check matrix… read more here.
Keywords: short bch; normalized min; min sum; bch codes ... See more keywords
Normalized Min-Sum Neural Network for LDPC Decoding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3212438
Abstract: The success of deep learning has encouraged its applications in decoding error-correcting codes, e.g., LDPC decoding. In this paper, we propose a model-driven deep learning method for normalized min-sum (NMS) low-density parity-check (LDPC) decoding, namely… read more here.
Keywords: network; normalized min; ldpc decoding; min sum ... See more keywords